Data Engineer SQL - Hybrid Working

• Data Engineer SQL - Hybrid Working
• Company: engineer master labs pvt. ltd
• Job Location: Indore, Madhya Pradesh, India
• Employment Type: Full-time
• Company Description

Engineer Master Labs Pvt. Ltd is an IT service provider located in Indore, India, specializing in a range of services including website development, logo designing, mobile app development for both hybrid and native platforms, and animation. The company is dedicated to delivering creative and innovative solutions to meet client needs. With a strong focus on quality and excellence, Engineer Master Labs demonstrates expertise in using technology to drive business success. For more information, visit the company's website or schedule a discovery call.

About the Role

This is an on-site Data Engineer role based in Indore. The Data Engineer will be responsible for designing, implementing, and maintaining robust data pipelines, performing Extract, Transform, and Load (ETL) processes, developing data models, and managing data warehousing solutions. The role also involves analyzing data to provide actionable insights and collaborating with cross-functional teams to ensure the accuracy and efficiency of data operations.

• 6+ months of experience as a Data Engineer, Data Analyst, or similar role.
• Basic working knowledge of Snowflake or Databricks (SQL, data engineering concepts).
• Practical experience with ETL tools or frameworks (Airflow, dbt, Glue, etc.).
• Strong SQL fundamentals and basic Python or PySpark skills.
• Understanding of data warehousing concepts and data modeling basics.
• Exposure to ML workflows or interest in fine-tuning models (LLMs or ML models).
• Familiarity with cloud platforms (AWS / Azure / GCP) is an advantage.
• Proficiency in Data Engineering with hands-on experience in building and maintaining scalable data pipelines.
• Strong skills in Data Modeling for designing and optimizing database solutions.
• Experience in Extract, Transform, Load (ETL) processes and develop ETL workflows to process and migrate data efficiently.
• Knowledge of Data Warehousing and implementing architectural solutions to store and organize data effectively.
• Competence in Data Analytics to analyze, interpret, and derive insights from complex datasets.
• Familiarity with database technologies, programming languages like Python or SQL, and cloud platforms is an advantage.
• Bachelor's degree in Computer Science, Information Technology, or a related field. Previous experience in data engineering or a related field is preferred. .